{"id":"W4210947010","doi":"10.1038/s41598-022-06129-3","title":"InSAR data reveal that the largest hydraulic fracturing-induced earthquake in Canada, to date, is a slow-slip event","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada; University of Victoria; University of Calgary","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Seismology; Geology; Magnitude (astronomy); Slip (aerodynamics); Interferometric synthetic aperture radar; Seismometer; Moment magnitude scale; Episodic tremor and slip; Subduction; Foreshock; Tectonics; Scaling; Aftershock; Synthetic aperture radar","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001608524,0.0004012913,0.0001800574,0.001058484,0.0006779323,0.0005771787,0.000268149,0.0001213902,0.002468268],"category_scores_gemma":[0.0007152907,0.0001119576,0.0001160702,0.002130706,0.0003102305,0.0001964297,0.0003716596,0.0002663709,0.0005155922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002976987,"about_ca_system_score_gemma":0.004747605,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8846938,"about_ca_topic_score_gemma":0.9505121,"domain_scores_codex":[0.9998511,0.000003003556,0.000005570581,0.00001614301,0.0000869007,0.00003717798],"domain_scores_gemma":[0.9989197,0.00005291134,0.0002008423,0.00004107901,0.0006811082,0.0001042976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002378071,0.00009948108,0.824515,0.0002832248,0.0001682504,0.000442221,0.0008650846,0.004552016,0.0129896,0.001642691,0.02123018,0.1329745],"study_design_scores_gemma":[0.000007669251,0.00001856293,0.9771298,0.00002540094,0.00003427817,0.00006147347,0.0004614718,0.001811803,0.001820029,0.0002101714,0.01840277,0.00001658334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9205691,0.0008764211,0.002996047,0.0003720393,0.00005113531,0.00005312506,0.03668445,0.0004534553,0.03794412],"genre_scores_gemma":[0.9753994,0.0008601832,0.002082671,0.00008912793,0.00001410413,0.00001295179,0.01795973,0.00002354571,0.003558463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1153062,"threshold_uncertainty_score":0.2319705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03987938421192678,"score_gpt":0.2374544786718576,"score_spread":0.1975750944599309,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}